One of the main goals of clinical studies consists of identifying diseases' causes and improving the efficacy of medical treatments. Sometimes, the reduced number of participants is a limiting factor for these stu...
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ISBN:
(数字)9781665467704
ISBN:
(纸本)9781665467704
One of the main goals of clinical studies consists of identifying diseases' causes and improving the efficacy of medical treatments. Sometimes, the reduced number of participants is a limiting factor for these studies, leading researchers to organise multi-centre studies. However, sharing health data raises certain concerns regarding patients' privacy, namely related to the robustness of anonymisation procedures. Although these techniques remove personal identifiers from registries, some studies have shown that anonymisation procedures can sometimes be reverted using specific patients' characteristics. In this paper, we propose a secure architecture to explore distributed databases without compromising the patient's privacy. The proposed architecture is based on interoperable repositories supported by a common data model.
Grid computing technologies have played an important role in both scientific and commercial communities in recent years. Initially, grid applications were concerned principally on the storage, replication and movement...
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ISBN:
(纸本)1424403251
Grid computing technologies have played an important role in both scientific and commercial communities in recent years. Initially, grid applications were concerned principally on the storage, replication and movement of file-based data, but now they are increasingly being used in many relative areas of e-Science and e-Business. The need for data access and integration becomes widely aware. In this paper, the Muse project presents a feasible approach, which is based on the design and implementation of OGSA-DAI architecture, to facilitate scientific researchers using grid services in their collaborative work. The Muse, with an aim of providing integrated access to complex, heterogeneous and distributed data resources, mainly intends to build a high-level middleware to extend the functionalities of OGSA-DAI framework. This paper focuses primarily on access and integration of relational databases, and shows how Muse supports a demonstrated application scenario in detail.
In this paper we experiment with using the UNION ALL operator to make data integration queries over a version of the SDSS scientific Database,distributed using *** paper starts with background information on the SDSS ...
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In this paper we experiment with using the UNION ALL operator to make data integration queries over a version of the SDSS scientific Database,distributed using *** paper starts with background information on the SDSS database and the eScience technologies OGSA-DAI and *** recaps how we distributes a SDSS database across three *** then examines the running of several OGSA-DQP queries against the *** discuss our experiences of using UNION ALL for integrating data results from data service resources based on heterogeneous underlying database management systems.
In this paper, we discuss a general integrated query problem for the heterogeneous data. We first assume that there exist a global and loosely coupled distribution data model, and then based on this assumption a gener...
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In this paper, we discuss a general integrated query problem for the heterogeneous data. We first assume that there exist a global and loosely coupled distribution data model, and then based on this assumption a general integrated query processor is designed, which can integrate query processing for the heterogeneous data sources in large-scale distributed environment.
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